2.7k citations · 2.9k across the 5 of their papers we have counts for
6 papers
MITI Minimum Information guidelines for highly multiplexed tissue images
Denis Schapiro, Clarence Yapp, Artem Sokolov +36
The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need…
SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways
Waradon Sungnak, Ni Huang, Christophe Bécavin +2
The SARS-CoV-2 coronavirus, the etiologic agent responsible for COVID-19 coronavirus disease, is a global threat. To better understand viral tropism, we assessed the RNA expression…
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks
Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran +1
We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulator…
The Human Cell Atlas White Paper
Aviv Regev, Sarah Teichmann, Orit Rozenblatt-Rosen +78
The Human Cell Atlas (HCA) will be made up of comprehensive reference maps of all human cells - the fundamental units of life - as a basis for understanding fundamental human biolo…
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
Nir Friedman, Iftach Nachman, Dana Pe'er
Learning Bayesian networks is often cast as an optimization problem, where the computational task is to find a structure that maximizes a statistically motivated score. By and larg…
Learning Module Networks
Eran Segal, Dana Pe'er, Aviv Regev +2
Methods for learning Bayesian network structure can discover dependency structure between observed variables, and have been shown to be useful in many applications. However, in dom…